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- Sparsity-of-effects_principle abstract "In the statistical analysis of the results from factorial experiments, the sparsity-of-effects principle states that a system is usually dominated by main effects and low-order interactions. Thus it is most likely that main (single factor) effects and two-factor interactions are the most significant responses in a factorial experiment. In other words, higher order interactions such as three-factor interactions are very rare. This is sometimes referred to as the hierarchical ordering principle. The sparsity-of-effects principle actually refers to the idea that only a few effects in a factorial experiment will be statistically significant.This principle is only valid on the assumption of a factor space far from a stationary point.".
- Sparsity-of-effects_principle wikiPageID "3431840".
- Sparsity-of-effects_principle wikiPageLength "1595".
- Sparsity-of-effects_principle wikiPageOutDegree "9".
- Sparsity-of-effects_principle wikiPageRevisionID "610154145".
- Sparsity-of-effects_principle wikiPageWikiLink Category:Design_of_experiments.
- Sparsity-of-effects_principle wikiPageWikiLink Category:Social_science_methodology.
- Sparsity-of-effects_principle wikiPageWikiLink Category:Statistical_principles.
- Sparsity-of-effects_principle wikiPageWikiLink Factorial_experiment.
- Sparsity-of-effects_principle wikiPageWikiLink Interaction_(statistics).
- Sparsity-of-effects_principle wikiPageWikiLink Main_effect.
- Sparsity-of-effects_principle wikiPageWikiLink Occams_razor.
- Sparsity-of-effects_principle wikiPageWikiLink Pareto_principle.
- Sparsity-of-effects_principle wikiPageWikiLink Statistics.
- Sparsity-of-effects_principle wikiPageWikiLinkText "Sparsity-of-effects principle".
- Sparsity-of-effects_principle wikiPageWikiLinkText "sparsity-of-effects principle".
- Sparsity-of-effects_principle wikiPageUsesTemplate Template:Reflist.
- Sparsity-of-effects_principle subject Category:Design_of_experiments.
- Sparsity-of-effects_principle subject Category:Social_science_methodology.
- Sparsity-of-effects_principle subject Category:Statistical_principles.
- Sparsity-of-effects_principle type Method.
- Sparsity-of-effects_principle type Science.
- Sparsity-of-effects_principle comment "In the statistical analysis of the results from factorial experiments, the sparsity-of-effects principle states that a system is usually dominated by main effects and low-order interactions. Thus it is most likely that main (single factor) effects and two-factor interactions are the most significant responses in a factorial experiment. In other words, higher order interactions such as three-factor interactions are very rare.".
- Sparsity-of-effects_principle label "Sparsity-of-effects principle".
- Sparsity-of-effects_principle sameAs Q7573805.
- Sparsity-of-effects_principle sameAs m.09c38n.
- Sparsity-of-effects_principle sameAs Q7573805.
- Sparsity-of-effects_principle wasDerivedFrom Sparsity-of-effects_principle?oldid=610154145.
- Sparsity-of-effects_principle isPrimaryTopicOf Sparsity-of-effects_principle.